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videomae-base-groub4-finetuned-SLT-subset – AI Model by asmaa1 | AlphaNeural AI
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videomae-base-groub4-finetuned-SLT-subset
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transformers
pytorch
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-groub4-finetuned-SLT-subset
This model is a fine-tuned version of
MCG-NJU/videomae-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9999
Accuracy: 0.05
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 60
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.4678
0.33
20
3.0221
0.05
3.3384
1.33
40
3.0131
0.05
3.0454
2.33
60
2.9999
0.05
Framework versions
Transformers 4.33.0
Pytorch 2.0.0+cpu
Datasets 2.1.0
Tokenizers 0.13.3
